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llm-arbitration-policy

Automate trading decision arbitration using expert signals and MCP tool context.

59|30|Updated Apr 30, 2026
Search Tags:#financial analysis#risk assessment#investment decision#market context#LLM arbitration
One-click install
npx skills add https://github.com/duolongworld/AI_Renaissance --skill llm-arbitration-policy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-arbitration-policy
Source: https://github.com/duolongworld/AI_Renaissance/tree/main/skills/orchestrator/llm_arbitration_policy
Command: npx skills add https://github.com/duolongworld/AI_Renaissance --skill llm-arbitration-policy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agents/orchestrator/arbitration_strategy, agents/orchestrator/arbitration, agents/orchestrator/agent, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill resolves the challenge of achieving consistent investment decisions by automating the arbitration process among various expert signals and external tools.

Core Features & Use Cases

  • Arbitration Automation: Streamlines the decision-making process by analyzing expert signals and execution traces.
  • Integration with External Tools: Enhances decision-making with external market context and risk data from MCP tools.
  • Output Structured Decisions: Generates clear, structured JSON outputs for trading decisions that align with market trends and expert consensus.

Quick Start

Execute the llm-arbitration-policy Skill to automate arbitration of trading decisions for the given stock code 'AAPL'.

Frequently Asked Questions about llm-arbitration-policy

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate investment decision arbitration using expert signals and market context?▼

Investment decision arbitration is automated by analyzing expert signals, execution traces, and market context from MCP tools. This process resolves conflicting trading indicators to generate clear, structured JSON outputs for consistent trading decisions.

What is LLM arbitration for trading decisions?▼

LLM arbitration evaluates financial and risk signals alongside expert consensus to standardize trading actions. It handles external market context and execution traces to align your investments with market trends automatically.

Do I need Orchestrator agents and MCP tools to run financial risk assessment for stocks?▼

Yes, financial risk assessment requires access to Orchestrator agents and MCP tool interfaces. These dependencies provide the necessary external market context and executable traces for informed decision-making.

Can I use this arbitration automation to generate structured JSON outputs for market trends?▼

Yes, arbitration automation outputs structured JSON decisions that align with market trends and expert consensus. It streamlines the decision-making process by integrating external risk data directly into the final output.

What's the best way to resolve conflicting expert signals for a specific stock code?▼

Resolving conflicting expert signals is best handled by executing the arbitration policy for a specific stock code like AAPL. This analyzes execution traces and market context to output a unified trading decision.

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